Results 71 to 80 of about 4,576 (116)
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1999
The design of highways, runways, ports or any transportation facility is guided by knowledge and theory of the traffic streams they serve. A facility’s scale, its geometry and its control measures are selected to affect certain properties of its traffic, such as the travel delay, the separation between vehicles, etc. In the case of highway traffic, the
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The design of highways, runways, ports or any transportation facility is guided by knowledge and theory of the traffic streams they serve. A facility’s scale, its geometry and its control measures are selected to affect certain properties of its traffic, such as the travel delay, the separation between vehicles, etc. In the case of highway traffic, the
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Reducing Spare Capacity Through Traffic Splitting
IEEE Communications Letters, 2004By splitting traffic across an optimal number of disjoint paths, it is shown a capacity saving of up to 11% is possible in randomly generated networks relative to the most capacity efficient mesh-based restoration scheme available to date. An algorithm yielding the optimal number of disjoint paths is developed.
Andrew Zalesky +2 more
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Capacity allocation for self-similar traffic
IEEE International Conference on Communications, 2003. ICC '03., 2004Inadequacy is obvious when the conventional capacity allocation (CA) models are applied to IP networks. This paper presents several CA models incorporating the recent achievements in self-similarity analysis. These models can be directly applied to the IntServ and indirectly to the DiffServ.
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Capacity of WCDMA links with hetorgenous traffic
2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), 2011The soft capacity of the commercial WCDMA systems is defined as the average load that assures that the instantaneous load in the system stays below a target threshold with a high probability. In military communication systems each user link is required to have assured availability and hence the capacity has to be based on assured availability of each ...
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Bursty traffic and finite capacity queues
Annals of Operations Research, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The Actual Traffic Capacity of Freeway
International Conference on Transportation Engineering 2009, 2009This note contributes to the advanced continuum modeling for describing traffic actual capacity of freeway. The actual capacity of freeway is affected by the road geometry, traffic, weather and environmental factors, etc., so the model must take the aforementioned factors into account.
Weisheng An +3 more
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The effect of traffic factors on the capacity of a traffic signal approach
1974The effect of traffic factors on the capacity of a traffic signal approach is usually allowed for by the use of weighting factors, referred to as ‘passenger car units’, assigned to differing vehicle categories. As a consequence the saturation flow of a signal approach or of a single approach lane is expressed in passenger car units per hour (pcu/h).
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Capacity and Traffic Management on a Heavy-Traffic Railway Line
2020In connection with the development of international trade relations with the countries of Western Europe and East Asia, carried out through the developing ports of the Azov-black sea basin, a significant increase in the volume of export cargo in the southern region of Russia.
Viktor Zubkov +4 more
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Traffic monitoring for capacity allocation of multimedia traffic in ATM broadband networks
Telecommunication Systems, 1998We address the accommodation of multimedia traffic by ATM broadband networks. We isolate a single network channel and we search for capacity allocation/transmission multiplexing policies which satisfy all traffic QOSs with simultaneous high utilization of channel capacity resources, in the presence of variable traffic rates.
Anthony Burrell +2 more
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Capacity dimensioning based on traffic measurement in the Internet
GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270), 2002Capacity dimensioning in the Internet is becoming more important to provide stable and predictable quality of service (QoS) to the customers. However, capacity dimensioning is not an easy task because the network state changes frequently. We first propose a method to identify the bottleneck for improving the performance of the end users.
Kazumine Matoba +2 more
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